◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

J. Paisley

50 papers hereh-index 4012.5k citations123 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author6
  • middle author11
  • last author31

Across the 48 of 50 papers where every author was matched, so the position is known.

fields
  • cs.CV13
  • cs.LG13
  • stat.ML12
  • eess.IV3
  • stat.ME3
  • math.ST2
same name
  • J. Paisley — 1 paper, h 8

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20112023
most citedClearing the Skies: A deep network architecture for single-image rain removal

986 citations · 2k across the 50 of their papers we have counts for

collaborators
Showing 2016Show all

4 papers · 1 filter

cs.CL2016★ 130 cited

TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency

Adji B. Dieng, Chong Wang, Jianfeng Gao +1

In this paper, we propose TopicRNN, a recurrent neural network (RNN)-based language model designed to directly capture the global semantic meaning relating words in a document via…

stat.ML2016★ 8 cited

Variational Inference via χ-Upper Bound Minimization

Adji B. Dieng, Dustin Tran, Rajesh Ranganath +2

Variational inference (VI) is widely used as an efficient alternative to Markov chain Monte Carlo. It posits a family of approximating distributions q and finds the closest membe…

cs.CV2016★ 986 cited

Clearing the Skies: A deep network architecture for single-image rain removal

Xueyang Fu, Jiabin Huang, Xinghao Ding +2

We introduce a deep network architecture called DerainNet for removing rain streaks from an image. Based on the deep convolutional neural network (CNN), we directly learn the mappi…

math.ST2016★ 4 cited

A constructive definition of the beta process

John Paisley, Michael I Jordan

We derive a construction of the beta process that allows for the atoms with significant measure to be drawn first. Our representation is based on an extension of the Sethuraman (19…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.